PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models

Autor: Shashi Gupta, Aditya Basu, Mauro Nievas, Jerrin Thomas, Nathan Wolfrath, Adhitya Ramamurthi, Bradley Taylor, Anai N. Kothari, Regina Schwind, Therica M. Miller, Sorena Nadaf-Rahrov, Yanshan Wang, Hrituraj Singh

Publikováno v: npj Digital Medicine, Vol 7, Iss 1, Pp 1-12 (2024)

Abstract Clinical trial matching is the task of identifying trials for which patients may be eligible. Typically, this task is labor-intensive and requires detailed verification of patient electronic health records (EHRs) against the stringent inclus

Externí odkaz: https://doaj.org/article/182275fd80c34579831829800e2db4cd

Characteristics Associated with Successful Residency Match in General Surgery

Autor: Reagan A. Collins, BA, Kaitlyn Nimmer, BA, Salma A. Sheriff, BS, Tania K. Arora, MD, Anai N. Kothari, MD, MS, Carrie Cunningham, MD, MPH, Callisia N. Clarke, MD, MS

Publikováno v: Annals of Surgery Open, Vol 5, Iss 3, p e469 (2024)

Objective:. To evaluate characteristics of matched and unmatched general surgery residency (GSR) applicants. Background:. Given the recent change of the United States Medical Licensing Exam Step 1 grading to pass/fail, understanding the factors that

Externí odkaz: https://doaj.org/article/99880c45409b463ba5ecd9e2c2488776

Nonelective coronary artery bypass graft outcomes are adversely impacted by Coronavirus disease 2019 infection, but not altered processes of care: A National COVID Cohort Collaborative and National Surgery Quality Improvement Program analysisCentral MessagePerspective

Autor: Emily A. Grimsley, MD, Johnathan V. Torikashvili, BS, Haroon M. Janjua, MS, Meagan D. Read, MD, Anai N. Kothari, MD, MS, Nate B. Verhagen, BS, Ricardo Pietrobon, MD, PhD, Paul C. Kuo, MD, MS, MBA, Michael P. Rogers, MD, MS, Adam B. Wilcox, Adam M. Lee, Alexis Graves, Alfred (Jerrod) Anzalone, Amin Manna, Amit Saha, Amy Olex, Andrea Zhou, Andrew E. Williams, Andrew Southerland, Andrew T. Girvin, Anita Walden, Anjali A. Sharathkumar, Benjamin Amor, Benjamin Bates, Brian Hendricks, Brijesh Patel, Caleb Alexander, Carolyn Bramante, Cavin Ward-Caviness, Charisse Madlock-Brown, Christine Suver, Christopher Chute, Christopher Dillon, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A. Eichmann, Diego Mazzotti, Don Brown, Eilis Boudreau, Elaine Hill, Elizabeth Zampino, Emily Carlson Marti, Emily R. Pfaff, Evan French, Farrukh M. Koraishy, Federico Mariona, Fred Prior, George Sokos, Greg Martin, Harold Lehmann, Heidi Spratt, Hemalkumar Mehta, Hongfang Liu, Hythem Sidky, J.W. Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel Gagnier, Joel H. Saltz, Joel Saltz, Johanna Loomba, John Buse, Jomol Mathew, Joni L. Rutter, Julie A. McMurry, Justin Guinney, Justin Starren, Karen Crowley, Katie Rebecca Bradwell, Kellie M. Walters, Ken Wilkins, Kenneth R. Gersing, Kenrick Dwain Cato, Kimberly Murray, Kristin Kostka, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lesley Cottrell, Lili Portilla, Mariam Deacy, Mark M. Bissell, Marshall Clark, Mary Emmett, Mary Morrison Saltz, Matvey B. Palchuk, Melissa A. Haendel, Meredith Adams, Meredith Temple-O'Connor, Michael G. Kurilla, Michele Morris, Nabeel Qureshi, Nasia Safdar, Nicole Garbarini, Noha Sharafeldin, Ofer Sadan, Patricia A. Francis, Penny Wung Burgoon, Peter Robinson, Philip R.O. Payne, Rafael Fuentes, Randeep Jawa, Rebecca Erwin-Cohen, Rena Patel, Richard A. Moffitt, Richard L. Zhu, Rishi Kamaleswaran, Robert Hurley, Robert T. Miller, Saiju Pyarajan, Sam G. Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, Shawn T. O'Neil, Soko Setoguchi, Stephanie S. Hong, Steve Johnson, Tellen D. Bennett, Tiffany Callahan, Umit Topaloglu, Usman Sheikh, Valery Gordon, Vignesh Subbian, Warren A. Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang

Publikováno v: JTCVS Open, Vol 16, Iss , Pp 342-352 (2023)

Objective: The effects of Coronavirus disease 2019 (COVID-19) infection and altered processes of care on nonelective coronary artery bypass grafting (CABG) outcomes remain unknown. We hypothesized that patients with COVID-19 infection would have long

Externí odkaz: https://doaj.org/article/21efb68f029e459093a6ac34c9f6ea42

Automated machine learning (AutoML) can predict 90-day mortality after gastrectomy for cancer

Autor: Gopika SenthilKumar, Sharadhi Madhusudhana, Madelyn Flitcroft, Salma Sheriff, Samih Thalji, Jennifer Merrill, Callisia N. Clarke, Ugwuji N. Maduekwe, Susan Tsai, Kathleen K. Christians, T. Clark Gamblin, Anai N. Kothari

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)

Abstract Early postoperative mortality risk prediction is crucial for clinical management of gastric cancer. This study aims to predict 90-day mortality in gastric cancer patients undergoing gastrectomy using automated machine learning (AutoML), opti

Externí odkaz: https://doaj.org/article/b28725a210ed48cc8d0ba154d506909c

Team principles for successful interdisciplinary research teams

Autor: Sherry-Ann Brown, Rodney Sparapani, Kristen Osinski, Jun Zhang, Jeffrey Blessing, Feixiong Cheng, Abdulaziz Hamid, Mehri Bagheri MohamadiPour, Jessica Castrillon Lal, Anai N. Kothari, Pedro Caraballo, Peter Noseworthy, Roger H. Johnson, Kathryn Hansen, Louise Y. Sun, Bradley Crotty, Yee Chung Cheng, Gift Echefu, Krishna Doshi, Jessica Olson

Publikováno v: American Heart Journal Plus, Vol 32, Iss , Pp 100306- (2023)

Interdisciplinary research teams can be extremely beneficial when addressing difficult clinical problems. The incorporation of conceptual and methodological strategies from a variety of research disciplines and health professions yields transformativ

Externí odkaz: https://doaj.org/article/210eeffc0f48419c8be57ee588ef4c77